担忧
发表于 2025-3-23 10:24:33
A Kernel Method to Extract Common Features Based on Mutual Informationetween nonlinear mappings of the data. However, the kernel CCA tends to obtain the features that have only small information of original multivariates in spite of their high correlation, because it considers only statistics of the extracted features and the nonlinear mappings have high degree of fre
acquisition
发表于 2025-3-23 17:47:31
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flamboyant
发表于 2025-3-23 20:57:30
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性学院
发表于 2025-3-23 22:12:31
Non-negative Matrix Factorization with Schatten p-norms Reguralizationlarization terms were previously added to the NMF objective function in order to produce sparser results and thus to obtain a more qualitative partition of data. We would like to propose the general framework for regularized NMF based on Schatten p-norms. Experimental results show the effectiveness
遍及
发表于 2025-3-24 02:33:23
A New Energy Model for the Hidden Markov Random Fieldsood energy function of the Hidden Markov Random Fields model based on the Hidden Markov Model formalism. With this new energy model, we aim at (1) avoiding the use of a key parameter chosen empirically on which the results of the current models are heavily relying, (2) proposing an information rich
INCH
发表于 2025-3-24 09:54:08
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贪婪的人
发表于 2025-3-24 11:10:47
A Computational Model of Anti-Bayesian Sensory Integration in the Size-Weight Illusionhe SWI refers to the fact that people judge the smaller of two equally weighted objects to heavier when lifted. Many aspects of human perceptual and motor behavior can be modeled with Bayesian statistics. However, the SWI cannot be explained on the basis of Bayesian integration, and the nervous syst
Valves
发表于 2025-3-24 17:26:00
Unsupervised Dimensionality Reduction for Gaussian Mixture Modelodel (GMM), a famous model, has been widely used in various applications, e.g., clustering and classification. For high-dimensional data, previous research usually performs dimensionality reduction first, and then inputs the reduced features to other available models, e.g., GMM. In particular, there
纬线
发表于 2025-3-24 19:09:04
Graph Kernels Exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensionsing phase of the nodes based on test-specific information extracted from the graph, for example the set of neighbours of a node. We defined a novel relabelling and derived two kernels of the framework from it. The novel kernels are very fast to compute and achieve state-of-the-art results on five re
gnarled
发表于 2025-3-24 23:09:56
Texture Analysis Based Automated Decision Support System for Classification of Skin Cancer Using SA-cal decision support system aimed to save lives, time and resources in the early diagnostic process. Segmentation, feature extraction, and lesion classification are the important steps in the proposed system. The system analyses the images to extract the affected area using a novel proposed segmenta